School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Zhiyuan Research Institute, Hangzhou 310000, China.
Sensors (Basel). 2024 Jul 18;24(14):4673. doi: 10.3390/s24144673.
In order to better design handling-assisted exoskeletons, it is necessary to analyze the biomechanics of human hand movements. In this study, Anybody Modeling System (AMS) simulation was used to analyze the movement state of muscles during human handling. Combined with surface electromyography (sEMG) experiments, specific analysis and verification were carried out to obtain the position of muscles that the human body needs to assist during handling. In this study, the simulation and experiment were carried out for the manual handling process. A treatment group and an experimental group were set up. This study found that the vastus medialis muscle, vastus lateralis muscle, latissimus dorsi muscle, trapezius muscle, deltoid muscle and triceps brachii muscle require more energy in the process of handling, and it is reasonable and effective to combine sEMG signals with the simulation of the musculoskeletal model to analyze the muscle condition of human movement.
为了更好地设计搬运辅助外骨骼，有必要分析人手运动的生物力学。在这项研究中，使用了 Anybody Modeling System（AMS）模拟来分析人体搬运过程中肌肉的运动状态。结合表面肌电图（sEMG）实验，进行了具体的分析和验证，以获得人体在搬运过程中需要辅助的肌肉位置。在这项研究中，对手动搬运过程进行了模拟和实验。设置了一个治疗组和一个实验组。本研究发现，股四头肌、股外侧肌、背阔肌、斜方肌、三角肌和肱三头肌在搬运过程中需要更多的能量，因此将 sEMG 信号与肌肉骨骼模型的模拟相结合来分析人体运动的肌肉状况是合理且有效的。
